Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype

Abstract Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. Ho...

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Main Authors: Ki Oh, Yun Jae Yoo, Luke A. Torre-Healy, Manisha Rao, Danielle Fassler, Pei Wang, Michael Caponegro, Mei Gao, Joseph Kim, Aaron Sasson, Georgios Georgakis, Scott Powers, Richard A. Moffitt
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-40895-6
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author Ki Oh
Yun Jae Yoo
Luke A. Torre-Healy
Manisha Rao
Danielle Fassler
Pei Wang
Michael Caponegro
Mei Gao
Joseph Kim
Aaron Sasson
Georgios Georgakis
Scott Powers
Richard A. Moffitt
author_facet Ki Oh
Yun Jae Yoo
Luke A. Torre-Healy
Manisha Rao
Danielle Fassler
Pei Wang
Michael Caponegro
Mei Gao
Joseph Kim
Aaron Sasson
Georgios Georgakis
Scott Powers
Richard A. Moffitt
author_sort Ki Oh
collection DOAJ
description Abstract Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. However, understanding of underlying signals driving distinct immune and stromal landscapes is still incomplete. Here we integrate 92 single cell RNA-seq samples from seven independent studies to build a reproducible PDAC atlas with a focus on tumor-TME interdependence. Patients with activated stroma are synonymous with higher myofibroblastic and immunogenic fibroblasts, and furthermore show increased M2-like macrophages and regulatory T-cells. Contrastingly, patients with ‘normal’ stroma show M1-like recruitment, elevated effector and exhausted T-cells. To aid interoperability of future studies, we provide a pretrained cell type classifier and an atlas of subtype-based signaling factors that we also validate in mouse data. Ultimately, this work leverages the heterogeneity among single-cell studies to create a comprehensive view of the orchestra of signaling interactions governing PDAC.
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spelling doaj.art-20d46bef9b454b9f8bb70caf60828d922023-11-20T10:00:32ZengNature PortfolioNature Communications2041-17232023-08-0114111310.1038/s41467-023-40895-6Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtypeKi Oh0Yun Jae Yoo1Luke A. Torre-Healy2Manisha Rao3Danielle Fassler4Pei Wang5Michael Caponegro6Mei Gao7Joseph Kim8Aaron Sasson9Georgios Georgakis10Scott Powers11Richard A. Moffitt12Department of Biomedical Informatics, Stony Brook UniversityDepartment of Biomedical Informatics, Stony Brook UniversityDepartment of Biomedical Informatics, Stony Brook UniversityDepartment of Biomedical Engineering, Stony Brook UniversityDepartment of Biomedical Informatics, Stony Brook UniversityDepartment of Cell Systems & Anatomy, University of Texas Health Science CenterDepartment of Pharmacology, Stony Brook UniversityDepartment of Surgery, University of Kentucky and Markey Cancer CenterDepartment of Surgery, University of Kentucky and Markey Cancer CenterDepartment of Surgery, Stony Brook UniversityDepartment of Surgery, Stony Brook UniversityDepartment of Pathology, Stony Brook UniversityDepartment of Biomedical Informatics, Stony Brook UniversityAbstract Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. However, understanding of underlying signals driving distinct immune and stromal landscapes is still incomplete. Here we integrate 92 single cell RNA-seq samples from seven independent studies to build a reproducible PDAC atlas with a focus on tumor-TME interdependence. Patients with activated stroma are synonymous with higher myofibroblastic and immunogenic fibroblasts, and furthermore show increased M2-like macrophages and regulatory T-cells. Contrastingly, patients with ‘normal’ stroma show M1-like recruitment, elevated effector and exhausted T-cells. To aid interoperability of future studies, we provide a pretrained cell type classifier and an atlas of subtype-based signaling factors that we also validate in mouse data. Ultimately, this work leverages the heterogeneity among single-cell studies to create a comprehensive view of the orchestra of signaling interactions governing PDAC.https://doi.org/10.1038/s41467-023-40895-6
spellingShingle Ki Oh
Yun Jae Yoo
Luke A. Torre-Healy
Manisha Rao
Danielle Fassler
Pei Wang
Michael Caponegro
Mei Gao
Joseph Kim
Aaron Sasson
Georgios Georgakis
Scott Powers
Richard A. Moffitt
Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
Nature Communications
title Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
title_full Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
title_fullStr Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
title_full_unstemmed Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
title_short Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
title_sort coordinated single cell tumor microenvironment dynamics reinforce pancreatic cancer subtype
url https://doi.org/10.1038/s41467-023-40895-6
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